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Continual Causal Abstractions
This short paper discusses continually updated causal abstractions as a potential direction of future research.
FEATHERS: Federated Architecture and Hyperparameter Search
Deep neural architectures have profound impact on achieved performance in many of today's AI tasks, yet, their design still heavily relies on human prior knowledge and experience.
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation
Simulations are ubiquitous in machine learning.
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